Image processing apparatus and method

ABSTRACT

When one viewing condition parameter is applied to all pixels, a visual effect between a single color and a background expressed on a rasterized image cannot be reflected on a color matching result. To prevent this, when color matching using a human color appearance model is to be performed, the distance between an image and a viewer and the resolution of the image are input. On the basis of the input distance and resolution, a stimulus region, adjacent region, and background region based on a plurality of field angles (e.g., 2°, 4°, and 10°) for a pixel of interest on the image are defined, thereby determining a viewing condition parameter and performing color matching.

FIELD OF THE INVENTION

The present invention relates to an image processing apparatus andmethod and, more particularly, to color matching under different viewingconditions.

BACKGROUND OF THE INVENTION

A human color appearance model is so designed as to allow correctlypredicting how a color is seen when a color chip having a field angle of2° is given. FIG. 1 is a view showing the definition of a human visualfield. A CIE 1931 standard calorimetric observer is applicable to therange of a field angle of 1° to 4°. Therefore, this applicable region isdivided into a stimulus region having a field angle of 2° or less, anadjacent region having a field angle of 4° or less, a background regionfrom the adjacent region to a region having a field angle of 10°, and asurrounding region around this background region. Also, a visual fieldregion including all these regions is an adaptation region.

CIE CAM97s is a representative color appearance model, and in this modelthe following can be set as viewing condition parameters.

-   -   La: Absolute luminance [cd/m²] in adaptation region        -   Normally, 20% of white point absolute luminance in            adaptation region    -   XYZ: Relative XYZ value of color chip    -   XwYwZw: Relative XYZ value of white point    -   Yb: Relative luminance of background region    -   Surround conditions:        -   Average Surround (larger than a field angle of 4° of a color            chip)        -   Average Surround (equal to or smaller than a field angle of            4° of a color chip)        -   Dim Surround        -   Dark Surround        -   Cut-Sheet Transparencies (on viewing box)

The surround condition is Average if the relative luminance in thesurrounding region is 20% or less of a white point in the adaptationregion, Dim if this value is smaller than 20%, and Dark if this value isalmost 0%.

A color appearance model is derived from experimental results usingmonochromatic color chips. Hence, no method has been established whichdetermines viewing condition parameters applicable to an image having aplurality of colors. That is, the relative luminance Yb of thebackground region is set at 20% because neutral gray is 20% of a whitepoint.

Also, when a color appearance model is applied to an image, one viewingcondition parameter is generally used for all pixels.

When one viewing condition parameter is thus applied to all pixels, avisual effect between a single color and a background expressed on arasterized image cannot be reflected on a color matching result.

Furthermore, since an average viewing condition parameter is evenlyapplied to an image, no color matching result having high accuracy canbe locally obtained.

SUMMARY OF THE INVENTION

The present invention has been made to individually or simultaneouslysolve the above problems, and has as its object to reflect a visualeffect between a single color and a background expressed on an imageonto a color matching result.

It is another object of the present invention to locally obtain ahigh-accuracy color matching result.

To achieve the above objects, a preferred embodiment of the presentinvention discloses an image processing apparatus for performing colormatching by using a color appearance model, comprising an inputter,arranged to input a distance between an image and a viewer, and aresolution of the image, and a processor, arranged to define regionsbased on a plurality of field angles with respect to a pixel of intereston the image, on the basis of the input distance and resolution, therebyperforming color matching.

Also, an image processing method of performing color matching by using acolor appearance model, comprising the steps of inputting a distancebetween an image and a viewer, and a resolution of the image, anddefining regions based on a plurality of field angles with respect to apixel of interest on the image, on the basis of the input distance andresolution, thereby performing color matching is disclosed.

Other features and advantages of the present invention will be apparentfrom the following description taken in conjunction with theaccompanying drawings, in which like reference characters designate thesame or similar parts throughout the figures thereof.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a conceptual view showing the definition of a human visualfield;

FIG. 2 is a view for explaining the concept of color matching by CAM;

FIG. 3 is a flow chart showing the process configuration of the firstembodiment;

FIG. 4 is a view for explaining the distance from a monitor screen or aprinted product to a viewer;

FIG. 5 is a view for explaining a method of calculating the diameters ofa stimulus region, adjacent region, and background region from adistance D between an image and a viewer;

FIG. 6 is a view showing a pixel of interest in an image and regionscorresponding to different field angles;

FIG. 7 is a view showing lack of pixels in processing near the edge ofan image;

FIG. 8 is a flow chart showing the process configuration of the secondembodiment;

FIG. 9 is a view showing an arrangement in which a distance measurementsensor is placed on a monitor or a viewing box; and

FIG. 10 is a view showing a user interface for setting relativeluminance values for lacking pixels in processing near the edge of animage.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Image processing apparatuses according to embodiments of the presentinvention will be described in detail below with reference to theaccompanying drawings.

First Embodiment

[Concept of Color Matching]

FIG. 2 is a view for explaining the concept of color matching.

In FIG. 2, reference numeral 11 denotes a conversion matrix orconversion lookup table (LUT) for transforming data depending on aninput device into device-independent color space data which is based onthe white point reference of environmental light at the input side; 12,a color appearance model transform unit (CAM) for transforming the dataobtained from the conversion LUT 11 into a human color appearance spaceJCh or QMh; 13, JCh (or JCH) which is a color appearance space relativeto the reference white point of environmental light; 14, QMh (or QMH)which is an absolute color appearance space which changes its size inaccordance with an illuminance level; 15, a color appearance modelinverse transform unit (CAM⁻¹) for transforming the human colorappearance space JCh or QMh into device-independent color space databased on the reference white point of environmental light at the outputside; 16, a conversion LUT for transforming the data obtain from theinverse transform unit 15 into color space data depending on an outputdevice; 17, a viewing condition parameter on the input side; and 18, aviewing condition parameter on the output side.

Note that the input and output devices are not limited to color spacessuch as RGB and CMY(K), but can be arbitrary image input/output devicessuch as a digital still camera, digital video camera, monitor, andprinter. Note also that a computer apparatus such as a personal computeris applicable to an image processing apparatus for executing colormatching itself, but this function can also be imparted to theinput/output devices.

Generally, a white point of environmental light under viewing conditionsis different from a white point of a standard light source when a colorchip such as a color target or color patch is measured. For example, astandard light source used in colorimetry is D50 or D65. However,environmental light when an image is actually viewed is not restrictedto D50 or D65 but is often illuminating light such as an incandescentlamp or fluorescent lamp or mixed light of illuminating light and sunlight. In the following explanation, the light source characteristics ofenvironmental light under viewing conditions are D50, D65, or D93 forthe sake of simplicity. In practice, however, the XYZ value of a whitepoint on a medium is set as a white point.

When CIE CAM97s, for example, is applied as a color appearance model,the viewing condition parameter 17 on the input side and the viewingcondition parameter 18 on the output side are as follows.

-   -   La: Absolute luminance [cd/m²] in adaptation region    -   XYZ: Relative XYZ value of color chip    -   XwYwZw: Relative XYZ value of white point    -   Yb: Relative luminance of background region    -   Surround conditions:        -   Average Surround (average, larger than a field angle of 4°            of a color chip)        -   Average Surround (average, equal to or smaller than a field            angle of 4° of a color chip)        -   Dim Surround (dim)        -   Dark Surround (dark)        -   Cut-Sheet Transparencies (on viewing box)

Input device-dependent image data is transformed into a relative XYZvalue under environmental light at the input side by the transformationLUT 11.

[Process Configuration]

FIG. 3 is a flow chart showing the process configuration of thisembodiment. Although a practical hardware arrangement for implementingthe process configuration will not be explained, this processconfiguration is implemented by supplying a program corresponding to theconfiguration to a personal computer or the like.

First, a user inputs a distance D between an image and a viewer (S21).As shown in FIG. 4, the distance between a monitor screen or a printedproduct to a viewer is 0.4 to 0.7 m. However, a given distance D can beset by user input. In this embodiment, D=0.5 m is used as an example.Note that the set value of the distance D between an image and a vieweron the input side can be different from that on the output side.

Next, the diameters of a stimulus region, adjacent region, andbackground region are calculated from the distance D between an imageand a viewer. As FIG. 5 shows, the line of sight and the surface of animage presumably intersect at a substantially right angle. Therefore, adiameter Da of the stimulus region having a field angle of 2° or less, adiameter Dp of the adjacent region having a field angle of 4° or less,and a diameter Db of the background region having a field angle of 10°or less are as follows.Da=2×D×tan(1°)Dp=2×D×tan(2°)Db=2×D×tan(5°)

-   -   If D=0.5 m, Da=17 mm, Dp=35 mm, and Db=87 mm.

The user inputs resolution R (pixels/inch) of an image (S23). Forexample, this resolution R is 72 ppi for an image displayed on a monitorand 400 ppi, which is a printer resolution, for a printout image. Inpractice, the resolution R depends upon a resolution or a zoom ratiodesignated by an application or a device driver. Note that thisresolution has the same value at the input and output sides.

Subsequently, the numbers of pixels on the image corresponding to thestimulus pixel region, adjacent pixel region, and background pixelregion are calculated (S24). The numbers Dap, Dpp, and Dbp of pixels inthe diameters of the stimulus region, adjacent region, and backgroundregion, respectively, are as follows.Dap=Da×R/0.0254Dpp=Dp×R/0.0254Dbp=Db×R/0.0254

If D=0.5 m and R=72 ppi, Dap=48.2, Dpp=99.0, and Dbp=246.6. Forsimplicity, as shown in FIG. 6, assume a square region having 2n+1pixels (n is a positive integer) on each side. Length L of one side ofthis square region is calculated such that the area of a circular regionand the area of the square region are equal. Since L=√π×D/2=0.886×D, theside lengths of the individual regions are Lap=43 pixels, Lpp=87 pixels,and Lbp=219 pixels. If D on the input side and D on the output side aredifferent, it is only necessary to calculate the number of pixelscorresponding to the length of one side of each region independently forthe input and output sides.

The user then inputs white point absolute luminance Law [cd/m²] of theadaptation region and absolute luminance Ls [cd/m²] of the surroundingregion on the basis of values indicated by a meter and the like (S25).

The white point absolute luminance of the adaptation region can becalculated by the absolute luminance [cd/m²] of a monitor white point inthe case of a monitor, and by (illuminance [lux]/π on a printed product)in the case of a printed product. The absolute luminance of thesurrounding region is strictly the absolute luminance of a region havinga field angle larger than 10° with respect to a pixel of interest. Forthe sake of simplicity, however, this absolute luminance is in the caseof a monitor the ambient absolute luminance of the monitor, and in thecase of a printed product the ambient absolute luminance of the printedproduct. Note that different values can be set as each absoluteluminance in accordance with the viewing conditions on the input andoutput sides.

Subsequently, the surround conditions are determined by, e.g., thefollowing conditions (S26).

-   -   If 0.2≦Ls/Law, Average Surround    -   If 0.06<Ls/Law<0.2, Dim Surround    -   If Ls/Law≦0.06, Dark Surround

If Ls and Law on the input side are different from those on the outputside, the surround conditions are independently determined on the inputand output sides.

Next, a pixel of interest with respect to an input image is set (S27).For example, the following processing is performed for all pixels fromthe upper left to the lower right of the image.

First, whether the surround condition on the input or output side isAverage Surround is checked (S28). If the condition is Average Surround,uniformity Sp in the adjacent region is calculated (S29).

That is, in the adjacent region (including the pixel of interest and thestimulus region) having the side length Lpp, maximum and minimum Yvalues Ymax and Ymin are calculated from the XYZ value of each pixel.Uniformity Sp=(Ymax−Ymin)/100 is then calculated. If, for example,Sp≦0.01, this adjacent region is regarded as a uniform region. If theadjacent region is considered to be a uniform region, Average Surround(larger than a field angle of 4° of a color chip) is applied as thesurround condition; if the adjacent region is nonuniform, AverageSurround (equal to or smaller than a field angle of 4° of a color chip)is applied as the surround condition. Note that if the distance D at theinput side is different from the distance D at the output side, theranges of the adjacent region are also different, so the calculationsare independently performed on the input and output sides.

Subsequently, in the background region (not including the pixel ofinterest, stimulus region, and adjacent region) having the side lengthLbp as shown in FIG. 5, average relative luminance Yb of Y is calculatedfrom the XYZ value of each pixel (S30). If the distance D at the inputside is different from the distance D at the output side, the ranges ofthe adjacent region are also different, so the calculation isindependently performed on the input and output sides.

Next, viewing condition parameters on the input and output sides are set(S31). For example, if the input side is an sRGB monitor (D65, Law=80[cd/m²], Ls=4.074 [cd/m²]), the output side is a typical officeenvironment (D50, Law=238.7 [cd/m²], Ls=47.74 [cd/m²]), the distance Dbetween an image and a viewer is 0.5 m on both the input and outputsides, and the resolution is 72 ppi, the viewing condition parametersare as follows.

Input-side viewing condition parameters:

-   -   La=Law×0.2=80×0.2=16 [cd/m²]    -   XwYwZw=D65    -   Yb=average Y of input-side background region (one side=219        pixels) with respect to each pixel of interest    -   Surround condition: Dark Surround (Ls/Law=4.074/80=0.051)

Output-side viewing condition parameters:

-   -   La=Law×0.2=238.7×0.2=47.74 [cd/m²]    -   XwYwZw=D50    -   Yb=average Y of output-side background region (one side=219        pixels) with respect to each pixel of interest    -   Surround condition: Average Surround (Ls/Law=47.74/238.7=0.2)

The average relative luminance Yb on the output side should becalculated from the XYZ value at the output side. However, the XYZ valueon the output side is unpresumable in this stage, so the averagerelative luminance Yb at the output side is approximated by using theXYZ value on the input side. Also, the surround condition on the outputside is Average Surround. Therefore, processing similar to step S29 isperformed; the viewing condition parameter “larger than a field angle of4° of a color chip” or “equal to or smaller than a field angle of 4° ofa color chip” is set in accordance with the uniformity of a partialimage in the adjacent region.

Finally, color matching is performed by the CAM 12 by using the viewingcondition parameters at the input and output sides (S32), therebycalculating the output-side XYZ value corresponding to the input-sideXYZ value. Steps S27 to S32 are repeated until it is determined in stepS33 that analogous processing is completely performed for all pixels inthe image. In this way, color matching is performed for the whole image.

[Processing of Edge of Image]

If a pixel of interest is set near the edge of an image as shown in FIG.7, pixels in the stimulus region and the adjacent region are omitted inthe process of step S29. Likewise, pixels in the background region areomitted in step S30. In a case like this, Ymax, Ymin, and Yb areobtained from effective pixels without processing these omitted pixels.

As another method of preventing a lowering of the processing speedcaused by determination of the presence/absence of omission of pixelsnear the edge of an image, a value such as Y=100, Y=20, or the relativeluminance of the surrounding region can be set for an omitted pixel (asan omitted pixel) in accordance with the frame or the ambient situationof an assumed image. In this manner, processing can be performed withoutany omitted pixels.

As described above, the first embodiment can achieve the followingeffects.

(1) By using the distance D between an image and a viewer and theresolution R of the image, regions having different field angles (e.g.,2°, 4°, and 10°) with respect to a pixel of interest can be defined onthe image.

(2) A circular region with respect to a field angle is approximated to asquare region in an image. This can increase the speed of processing inthat region.

(3) By calculating the uniformity Sp at a field angle of 4° or less inan image, it is possible to determine which of “larger than a fieldangle of 4° of a color chip” or “equal to or smaller than a field angleof 4° of a color chip” is to be used as a viewing condition parameter ofAverage Surround.

(4) By calculating the average relative luminance Yb of the backgroundregion with respect to a pixel of interest in an image, this value canbe set as a viewing condition parameter for the pixel of interest.

(5) In processing near the edge of an image, a specific value (e.g.,Y=100, Y=20, or the relative luminance of the surrounding region) is setfor omitted pixels in the adjacent region and the background region.This can increase the speed of the processing near the edge.

Second Embodiment

An image processing apparatus of the second embodiment according to thepresent invention will be described below. In the second embodiment, thesame reference numerals as in the first embodiment denote the sameparts, and a detailed description thereof will be omitted.

In the first embodiment, an image object or a rasterized object has beenprimarily explained. In the second embodiment, color matching mentionedabove is applied to a graphical object before rasterization.

Average relative luminance Yb of the background region can be obtainedby analyzing the order of overlap of objects, and referring to colors inthe objects and the colors of objects in the background in accordancewith the sizes of the objects. A method of determining whether “largerthan a field angle of 4° of a color chip” in the case of AverageSurround will be explained as an example.

FIG. 8 is a flow chart showing the process configuration of the secondembodiment.

First, a vector image to be displayed on a monitor or printed out isinput (S71), and the type of the input object is detected (S72 to S75).If the input object is not detected as any object, the process isterminated by displaying an error message (S76).

If Input Object is Text Object or Closed Loop Object

In this case, processes corresponding to steps S21 to S26 shown in FIG.3 are performed in initialization (S77) to predetermine a region(adjacent region) corresponding to a field angle of 4° and a surroundcondition.

Subsequently, whether the surround condition is Average Surround ischecked (S78). If the condition is Average Surround, a rectanglecontaining the object is calculated for simplification, and whether thisrectangle is larger than the region having a field angle of 4° ischecked. That is, a rectangle containing the object is extracted (S79).This rectangle containing the object is compared with a square(equivalent to Lpp=87 pixels if D=0.5 m and R=72 ppi) having a fieldangle of 4°, thereby optimizing a viewing condition parameter for theobject (S80).

More specifically, in the process of step S80, if both longitudinal andlateral sides of the rectangle are larger than Lpp, it is determinedthat “larger than a field angle of 4°”. If one of the longitudinal andlateral sides is shorter, the analysis is further advanced. If the shortside of the rectangle ≧0.8×Lpp and the area is larger than the region(Lpp [m²]) having a field angle of 4°, it is determined that “largerthan a field angle of 4°”; if not, it is determined that “equal to orsmaller than a field angle of 4°”. Note that this determination isapplicable only when the text or the closed loop is painted with asingle color. To increase the accuracy of the determination, it is alsopossible to calculate the area (occupied ratio) of a region actuallypainted in the rectangular region containing the object.

If Input Object is Image Object

In this case, a viewing condition parameter is optimized by processesequivalent to steps S21 to S31 shown in FIG. 3 (S81).

If Input Object is Line Object

When this is the case, the possibility of “larger than a field angle of4° of a color chip” is low. Therefore, the process of optimizing aviewing condition parameter is skipped.

When a viewing condition parameter for each object is set by the aboveprocessing, color matching by a CAM 12 is performed (S82). The processesfrom steps S72 to S82 are repeated until it is determined in step S83that all objects are completely processed. In this way, color matchingof the whole vector image is completed.

By thus detecting objects, processing for a field angle can be performednot only for a raster image but also for a vector image.

Third Embodiment

An image processing apparatus of the third embodiment according to thepresent invention will be described below. In the third embodiment, thesame reference numerals as in the first embodiment denote the sameparts, and a detailed description thereof will be omitted.

In step S21 of FIG. 3, a user inputs a distance D between an image and aviewer. This process can be automated by the use of a distancemeasurement sensor. As an example, a distance measurement sensor whichmeasures a distance on the basis of the reflection time of infraredradiation is placed on a monitor or a viewing box (FIG. 9).

If a measurement sensor is difficult to install or is not connected to ahost, the distance D can be manually set. It is of course also possibleto input a numerical value (distance) displayed on a measurement sensorwhen the sensor is offline (not connected to a host machine).

Furthermore, in processing near the edge of an image, a relativeluminance value for an omitted pixel can be set by a user interfaceshown in FIG. 10. Although a default value is 20%, 100% can be set whenthe background is white, and an ambient relative luminance value can beset for a frameless image. If an actual relative luminance value isobtained, a custom value can also be input.

As described above, the distance D between a user and an original,monitor, or printed product can be accurately set by the use of adistance measurement sensor.

Modification of the Embodiments

In each of the above embodiments, the magnification of an image is notchanged. However, a viewing condition parameter can also be set inaccordance with zoom magnification Z. For example, if the sides of thestimulus region, adjacent region, and background region with respect toa direct image are Lap, Lpp, and Lbp, respectively, when the distance Dbetween an image and a viewer and the resolution R of the image aregiven, the sides of these regions with respect to the zoom magnificationZ are given as follows on the original image if the distance D is fixed.By using these values in the aforementioned processing, the processingcan be controlled even when the magnification of the image is changed.Lap′=Lap×(1/Z)Lpp′=Lpp×(1/Z)Lbp′=Lbp×(1/Z)

The present invention can be applied to a system constituted by aplurality of devices (e.g., host computer, interface, reader, printer)or to an apparatus comprising a single device (e.g., copy machine,facsimile).

Further, the object of the present invention can be also achieved byproviding a storage medium storing program codes for performing theaforesaid processes to a system or an apparatus, reading the programcodes with a computer (e.g., CPU, MPU) of the system or apparatus fromthe storage medium, then executing the program.

In this case, the program codes read from the storage medium realize thefunctions according to the embodiments, and the storage medium storingthe program codes constitutes the invention.

Further, the storage medium, such as a floppy disk, a hard disk, anoptical disk, a magneto-optical disk, CD-ROM, CD-R, a magnetic tape, anon-volatile type memory card, and ROM can be used for providing theprogram codes.

Furthermore, besides aforesaid functions according to the aboveembodiments are realized by executing the program codes which are readby a computer, the present invention includes a case where an OS(operating system) or the like working on the computer performs a partor entire processes in accordance with designations of the program codesand realizes functions according to the above embodiments.

Furthermore, the present invention also includes a case where, after theprogram codes read from the storage medium are written in a functionexpansion card which is inserted into the computer or in a memoryprovided in a function expansion unit which is connected to thecomputer, CPU or the like contained in the function expansion card orunit performs a part or entire process in accordance with designationsof the program codes and realizes functions of the above embodiments.

As many apparently widely different embodiments of the present inventioncan be made without departing from the spirit and scope thereof, it isto be understood that the invention is not limited to the specificembodiments thereof except as defined in the claims.

1. An image processing apparatus for performing color matching by usinga color appearance model, comprising: an inputter, arranged to input adistance between an image and a viewer, and a resolution of the image;and a processor, arranged to define regions based on a plurality offield angles with respect to a pixel of interest on the image, on thebasis of the input distance and resolution, thereby performing colormatching.
 2. An image processing method of performing color matching byusing a color appearance model, comprising the steps of: inputting adistance between an image and a viewer, and a resolution of the image;and defining regions based on a plurality of field angles with respectto a pixel of interest on the image, on the basis of the input distanceand resolution, thereby performing color matching.
 3. The methodaccording to claim 2, wherein at least 2°, 4°, and 10° are used as theplurality of field angles.
 4. The method according to claim 2, whereinin the color matching step, circular regions corresponding to theplurality of field angles are approximated to square regions to therebyincrease the speed of processing in the regions.
 5. The method accordingto claim 2, wherein in the color matching step, a viewing conditionparameter for the pixel of interest is determined by using pixel valuesof regions corresponding to the plurality of field angles.
 6. The methodaccording to claim 2, wherein in the color matching step, on the basisof the uniformity of the image within the field angle of a color chip inthe color appearance model, a parameter selected from the groupconsisting of “larger than the field angle of the color chip” and “notmore than the field angle of the color chip” is used as an averagesurrounding viewing condition parameter.
 7. The method according toclaim 2, wherein in the color matching step, the average relativeluminance of a background region with respect to the pixel of interestis used as a viewing condition parameter for the pixel of interest. 8.The method according to claim 2, wherein in the color matching step, aspeed of processing performed near an edge of the image is increased bysetting a specific value for omitted pixels in an adjacent region and abackground region.
 9. The method according to claim 8, wherein thespecific value is selected from the group consisting of a luminance of100%, a luminance of 20%, and the relative luminance of a surroundingregion.
 10. The method according to claim 2, wherein in the colormatching step, a viewing condition parameter for each object on a vectorimage is determined by using the ranges of regions corresponding to theplurality of field angles.
 11. The method according to claim 2, furthercomprising the step of measuring the distance between the image and theviewer.
 12. The method according to claim 2, further comprising the stepof manually inputting the distance between the image and the viewer. 13.The method according to claim 2, further comprising the step of manuallyinputting the relative luminance of a portion selected from the groupconsisting of the edge and the frame of the image.
 14. A computerprogram product comprising a computer readable medium storing a computerprogram code, for an image processing method of performing colormatching by using a color appearance model, comprising a processprocedure code for: inputting a distance between an image and a viewer,and a resolution of the image; and defining regions based on a pluralityof field angles with respect to a pixel of interest on the image, on thebasis of the input distance and resolution, thereby performing colormatching.
 15. An image processing method of performing color matching byusing a color appearance model, comprising the steps of: inputting adistance between an image and a viewer, and a resolution of the image;obtaining a background image for a pixel of interest on the image on thebasis of the input distance and resolution; obtaining an averagerelative luminance value for the pixel of interest from pixel values inthe obtained background region; and performing color matching using thecolor appearance model for the pixel of interest, by using the obtainedaverage relative luminance value.
 16. A computer program productcomprising a computer readable medium storing a computer program code,for an image processing method of performing color matching by using acolor appearance model, comprising a process procedure code for:inputting a distance between an image and a viewer, and a resolution ofthe image; obtaining a background image for a pixel of interest on theimage on the basis of the input distance and resolution; obtaining anaverage relative luminance value for the pixel of interest from pixelvalues in the obtained background region; and performing color matchingusing the color appearance model for the pixel of interest, by using theobtained average relative luminance value.